import numpy as np import pytest from pandas import ( Categorical, CategoricalIndex, Index, Interval, ) import pandas._testing as tm class TestReindex: def test_reindex_list_non_unique(self): # GH#11586 msg = "cannot reindex on an axis with duplicate labels" ci = CategoricalIndex(["a", "b", "c", "a"]) with pytest.raises(ValueError, match=msg): ci.reindex(["a", "c"]) def test_reindex_categorical_non_unique(self): msg = "cannot reindex on an axis with duplicate labels" ci = CategoricalIndex(["a", "b", "c", "a"]) with pytest.raises(ValueError, match=msg): ci.reindex(Categorical(["a", "c"])) def test_reindex_list_non_unique_unused_category(self): msg = "cannot reindex on an axis with duplicate labels" ci = CategoricalIndex(["a", "b", "c", "a"], categories=["a", "b", "c", "d"]) with pytest.raises(ValueError, match=msg): ci.reindex(["a", "c"]) def test_reindex_categorical_non_unique_unused_category(self): msg = "cannot reindex on an axis with duplicate labels" ci = CategoricalIndex(["a", "b", "c", "a"], categories=["a", "b", "c", "d"]) with pytest.raises(ValueError, match=msg): ci.reindex(Categorical(["a", "c"])) def test_reindex_duplicate_target(self): # See GH25459 cat = CategoricalIndex(["a", "b", "c"], categories=["a", "b", "c", "d"]) res, indexer = cat.reindex(["a", "c", "c"]) exp = Index(["a", "c", "c"], dtype="object") tm.assert_index_equal(res, exp, exact=True) tm.assert_numpy_array_equal(indexer, np.array([0, 2, 2], dtype=np.intp)) res, indexer = cat.reindex( CategoricalIndex(["a", "c", "c"], categories=["a", "b", "c", "d"]) ) exp = CategoricalIndex(["a", "c", "c"], categories=["a", "b", "c", "d"]) tm.assert_index_equal(res, exp, exact=True) tm.assert_numpy_array_equal(indexer, np.array([0, 2, 2], dtype=np.intp)) def test_reindex_empty_index(self): # See GH16770 c = CategoricalIndex([]) res, indexer = c.reindex(["a", "b"]) tm.assert_index_equal(res, Index(["a", "b"]), exact=True) tm.assert_numpy_array_equal(indexer, np.array([-1, -1], dtype=np.intp)) def test_reindex_categorical_added_category(self): # GH 42424 ci = CategoricalIndex( [Interval(0, 1, closed="right"), Interval(1, 2, closed="right")], ordered=True, ) ci_add = CategoricalIndex( [ Interval(0, 1, closed="right"), Interval(1, 2, closed="right"), Interval(2, 3, closed="right"), Interval(3, 4, closed="right"), ], ordered=True, ) result, _ = ci.reindex(ci_add) expected = ci_add tm.assert_index_equal(expected, result)